Rahul Biswas

According to our database, Rahul Biswas authored at least 26 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Consistent causal inference from time series with PC algorithm and its time-aware extension.

Rahul Biswas, Somabha Mukherjee

Stat. Comput., February, 2024

Tensor recovery in high-dimensional Ising models.

Tianyu Liu, Somabha Mukherjee, Rahul Biswas

J. Multivar. Anal., 2024

A local projection stabilised HHO method for the Oseen problem.

Gouranga Mallik, Rahul Biswas, Thirupathi Gudi

Comput. Math. Appl., 2024

Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark.

Niklas Wretblad, Fredrik Gordh Riseby, Rahul Biswas, Amin Ahmadi, Oskar Holmström

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Causal functional connectivity in Alzheimer's disease computed from time series fMRI data.

Rahul Biswas, Suryanarayana Sripada

Frontiers Comput. Neurosci., 2023

Real-time Personalized Guest Experiences using Product Attribute Information on Vanilla Hardware.

Amit Pande, Rahul Biswas, Pushkar Chennu, Harshith N, Anupama Joshi

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

2022

Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm.

Rahul Biswas, Eli Shlizerman

PLoS Comput. Biol., November, 2022

SNGuess: A method for the selection of young extragalactic transients.

N. Miranda, Johann-Christoph Freytag, Jakob Nordin, Rahul Biswas, Valery Brinnel, Christoffer Fremling, Marek Kowalski, Ashish Mahabal, Simeon Reusch, Jakob van Santen

CoRR, 2022

2021

MATRO: A robust, low-cost rescue robot designed for rapid deployment in developing countries.

Shovon Sudan Saha, Alvee Islam, Rahul Biswas, Shahnewaz Siddique

Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

2020

On some graph-based two-sample tests for high dimension, low sample size data.

Soham Sarkar, Rahul Biswas, Anil Kumar Ghosh

Mach. Learn., 2020

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

RAPID: Early Classification of Explosive Transients using Deep Learning.

Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Edge Patch-Wise Local Projection Stabilized Nonconforming FEM for the Oseen Problem.

Rahul Biswas, Asha K. Dond, Thirupathi Gudi

Comput. Methods Appl. Math., 2019

2018

Adobe Identity Graph.

Misbah Khan, Narayanan Krishnamoorthy, Leila Jalali, Rahul Biswas

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Using Information in Access Logs for Large Scale Identity Linkage.

Leila Jalali, Sungchul Kim, Narayanan Krishnamoorthy, Rahul Biswas

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Learning and Multi-Objective Optimization for Automatic Identity Linkage.

Leila Jalali, Misbah Khan, Rahul Biswas

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2014

A Peak Synchronization Measure for Multiple Signals.

Rahul Biswas, Koulik Khamaru, Kaushik Kumar Majumdar

IEEE Trans. Signal Process., 2014

2007

Recognizing Activities with Multiple Cues.

Rahul Biswas, Sebastian Thrun, Kikuo Fujimura

Proceedings of the Human Motion, 2007

2005

A Distributed Approach to Passive Localization for Sensor Networks.

Rahul Biswas, Sebastian Thrun

Proceedings of the Proceedings, 2005

2004

A passive approach to sensor network localization.

Rahul Biswas, Sebastian Thrun

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

A probabilistic approach to inference with limited information in sensor networks.

Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

2002

Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.

Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun

Proceedings of the UAI '02, 2002

Learning Occupancy Grids of Non-Stationary Objects with Mobile Robots.

Benson Limketkai, Rahul Biswas, Sebastian Thrun

Proceedings of the Experimental Robotics VIII [ISER 2002, 2002

Towards object mapping in non-stationary environments with mobile robots.

Rahul Biswas, Benson Limketkai, Scott Sanner, Sebastian Thrun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

2000

ICEBERG: an Internet core network architecture for integrated communications.

Helen J. Wang, Bhaskaran Raman, Chen-Nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Morley Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz

IEEE Wirel. Commun., 2000